Rep Spreadsheets
2026 — All Guides
Rep spreadsheets are Google Sheets maintained by the buying community — each one covering a specific agent platform and organized by product category. This index covers all major agents with KD≤35 keyword data, showing which spreadsheet covers which categories best and what to expect from each platform.
The heat map below shows at a glance which agent excels in which category. Green cells mean deep spreadsheet coverage with active community documentation; amber means partial coverage; red means limited or no organized spreadsheet data for that category.
Browse verified rep listings — all categories
Sourced from agents covered in this guideAgent × Category Coverage Heat Map
Each cell shows spreadsheet coverage depth for that agent × category combination, based on community reports and spreadsheet audits as of April 2026. Coverage is rated: ★★★ (deep, actively maintained) · ★★ (moderate) · ★ (limited) · — (no organized data).
| Platform | 👟 Shoes | 👕 Clothing | 👜 Bags | ⌚ Watches | 💍 Accessories | 📱 Electronics |
|---|---|---|---|---|---|---|
| ACBuy | ★★★ | ★★★ | ★★ | ★★ | ★★ | ★★ |
| CNFans | ★★★ | ★★★ | ★★★ | ★★ | ★★ | ★★ |
| AllChinaBuy | ★★★ | ★★ | ★★★ | ★★★ | ★★★ | ★★ |
| MuleBuy | ★★ | ★★★ | ★★ | ★ | ★★ | ★ |
| PandaBuy | ★★★ | ★★★ | ★★ | ★★ | ★ | ★ |
| Superbuy | ★★ | ★★ | ★★★ | ★★ | ★★ | ★ |
All Agent Spreadsheet Guides
| Agent | KD | Vol/mo | Best Category | Guide |
|---|---|---|---|---|
| ACBuy | 18 | 6,600 | Shoes + Clothing | ACBuy Guide → |
| CNFans | 27 | 9,900 | All Categories | CNFans Guide → |
| AllChinaBuy | 25 | 2,900 | Accessories + Bags | AllChinaBuy Guide → |
| MuleBuy | 25 | 1,900 | Clothing | MuleBuy Guide → |
| PandaBuy | 25 | 1,600 | Shoes + Streetwear | PandaBuy Guide → |
| Superbuy | 6 ★ | 720 | Bags + Consolidation | Superbuy Guide → |
| Taobao | 24 | 590 | Everything | Taobao Guide → |
| Lonefan | 20 | 480 | Sneakers | Lonefan Guide → |
| Alibaba | 20 | 260 | Wholesale items | Alibaba Guide → |
| ChinaBuy | 19 | 260 | Clothing + Shoes | ChinaBuy Guide → |
| Weidian | 22 | 170 | Streetwear | Weidian Guide → |
| Hagobuy | 21 | 140 | Shoes | Hagobuy Guide → |
How to Use a Rep Spreadsheet
Rep spreadsheets are Google Sheets, not websites. The first step is always to get the current link from the community — links rotate as agents update their sheets. Once you have the link, open it in Google Sheets (not Excel) for the best tab navigation experience.
Search strategy: Ctrl+F searches only the current tab. For cross-category searches, use Google Sheets' Find & Replace (Ctrl+H) with "Search: All sheets" checked. Most spreadsheets organize by tab — Shoes, Hoodies, Bags, etc. — so knowing your category saves time.
When you find an item, the product link in the spreadsheet is typically a Taobao, Weidian or 1688 URL. Copy it and paste it directly into your agent's order submission form. Community notes in adjacent cells often flag batch quality or sizing quirks worth reading before ordering.
Keyword Research Overview
The rep spreadsheet keyword space has 138 validated terms at KD≤35, Vol≥50 in the US market (April 2026). ACBuy spreadsheet leads in accessibility . CNFans leads in volume . Superbuy is the easiest single keyword to rank for . Reddit-variant keywords (acbuy spreadsheet reddit, pandabuy spreadsheet reddit) represent a distinct search intent cluster with –32 and collective volume exceeding .
Understanding the Keyword Data
The KD and volume figures in this guide come from US-market keyword research conducted April 2026. KD (Keyword Difficulty) measures how competitive a term is in Google search rankings — lower KD means easier to rank for content targeting that term. Volume is monthly US search volume.
ACBuy spreadsheet is the highest-value single keyword in the rep spreadsheet space: high volume, accessible difficulty. CNFans spreadsheet is the highest-volume keyword but harder to rank for. Superbuy spreadsheet is the easiest single keyword to rank for in this space.
Reddit variant keywords (acbuy spreadsheet reddit, pandabuy spreadsheet reddit) have –32 and collectively represent 2,000+/mo additional volume. These searches come from buyers who specifically want community discussion threads rather than standalone guides — a distinct intent cluster worth understanding when planning content.
How SpreadsheetReps Compiles This Data
SpreadsheetReps Research Co. monitors the rep spreadsheet ecosystem quarterly. Our methodology: keyword data from Semrush US market (April 2026), agent fee and storage data verified from each platform's current pricing page and community discussions, community score data aggregated from 200+ verified buyer reports per agent. All data points are timestamped to the date verified — check the last-updated field on each individual guide for recency.
The heat map on this page reflects spreadsheet coverage depth as assessed in April 2026. Coverage ratings are based on: number of documented items in each category (★★★ = 100+, ★★ = 30–99, ★ = under 30), recency of community additions (at least one update in the last 30 days to qualify as active), and documentation quality (batch notes and community trust signals present for most entries).
FAQ
This index is updated quarterly. The current data reflects April 2026 community reports and keyword research. Agent scores, fee structures, and storage periods can change — verify current terms with each agent before placing orders. The agent comparison page provides a consolidated view of all key metrics.